ParamHelpers (1.10)
Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning.
https://github.com/berndbischl/ParamHelpers
http://cran.r-project.org/web/packages/ParamHelpers
Functions for parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters can be described (type, constraints, defaults, etc.), combined to parameter sets and can in general be programmed on. A useful OptPath object (archive) to log function evaluations is also provided.
Maintainer:
Bernd Bischl
Author(s): Bernd Bischl [aut, cre], Michel Lang [aut], Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Jakob Richter [aut], Pascal Kerschke [aut]
License: BSD_2_clause + file LICENSE
Uses: BBmisc, checkmate, akima, ggplot2, lhs, plyr, testthat, GGally, emoa, gridExtra, reshape2, eaf, irace
Reverse depends: cmaesr, ecr, mlr, mlrMBO, smoof
Reverse suggests: flacco, llama
Reverse enhances: liquidSVM
Released 8 months ago.
11 previous versions
- ParamHelpers_1.9. Released 12 months ago.
- ParamHelpers_1.8. Released about 1 year ago.
- ParamHelpers_1.7. Released over 1 year ago.
- ParamHelpers_1.6. Released almost 2 years ago.
- ParamHelpers_1.5. Released over 2 years ago.
- ParamHelpers_1.4. Released almost 3 years ago.
- ParamHelpers_1.3. Released about 3 years ago.
- ParamHelpers_1.2. Released about 3 years ago.
- ParamHelpers_1.1-36. Released almost 4 years ago.
- ParamHelpers_1.0-55. Released about 5 years ago.
- ParamHelpers_1.0-54. Released about 5 years ago.
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